Objectives of the Program

Objectives of the Program

Fundamentals of programming (with a focus on data analysis and machine learning)

Data handling

Learning goals: analytical perspective

Preparation of data using popular open-source-programming environments (such as R)

Statistical modelling, machine learning, artificial intelligence

Practical applications

Learning goals: decision maker’s perspective

Students that have acquired the DSF-Certificate:

Identify the potential of creating business and societal value out of data

Can communicate and work with “technical” and legal experts in a proactive and solution-oriented manner

Can explain the strengths or weaknesses of proposed solutions to those members of the management less well versed in technical matters

In general have a sound ability to reflect on the methods and phenomena of the digital age

Why learn to program?

Solid hands-on work with data requires programming skills. It is only when you have done hands-on work with data yourself that you can relate to and adopt the perspective of a technical data scientist. Only when you are able to adopt this perspective, can you bridge between the world of management, on the one hand, and the world of technical data scientists, on the other.

Steve Jobs said “Everybody in this country should learn to program a computer, because it teaches you how to think”. We believe that he has had a point in that adopting the logic of a computer program promotes your general problem-solving skills.